Is Information Density Uniform in Task-Oriented Dialogues?
| Authors | |
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| Publication date | 2021 |
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| Book title | 2021 Conference on Empirical Methods in Natural Language Processing |
| Book subtitle | EMNLP 2021 : proceedings of the conference : November 7-11, 2021 |
| ISBN (electronic) |
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| Event | 2021 Conference on Empirical Methods in Natural Language Processing |
| Pages (from-to) | 8271–8283 |
| Publisher | Stroudsburg, PA: The Association for Computational Linguistics |
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| Abstract |
The Uniform Information Density principle states that speakers plan their utterances to reduce fluctuations in the density of the information transmitted. In this paper, we test whether, and within which contextual units this principle holds in task-oriented dialogues. We show that there is evidence supporting the principle in written dialogues where participants play a cooperative reference game as well as in spoken dialogues involving instruction giving and following. Our study underlines the importance of identifying the relevant contextual components, showing that information content increases particularly within topically and referentially related contextual units.
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| Document type | Conference contribution |
| Note | With supplementary video and software |
| Language | English |
| Published at | https://doi.org/10.18653/v1/2021.emnlp-main.652 |
| Other links | https://github.com/dmg-illc/uid-dialogue |
| Downloads |
2021.emnlp-main.652
(Final published version)
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